WiTransformer: A Novel Robust Gesture Recognition Sensing Model with WiFi.

ABSTRACT: The past decade has demonstrated the potential of human activity recognition (HAR) with WiFi signals owing to non-invasiveness and ubiquity. Previous research has largely concentrated on enhancing precision through sophisticated models. However, the complexity of recognition tasks has been largely neglected. Thus, the performance of the HAR system is markedly diminished when tasked with increasing complexities, such as a larger classification number, the confusion of similar actions, and signal distortion To address this issue, we eliminated conventional convolutional and recurrent backbones and proposed WiTransformer, a novel tactic based on pure Transformers. Nevertheless, Transformer-like models are typically suited to large-scale datasets as pretraining models, according to the experie

SUBMITTER: Yang M 

PROVIDER: S-EPMC10007469 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature